RRepoGEO

REPOGEO REPORT · LITE

LemonQu-GIT/ChatGLM-6B-Engineering

Default branch main · commit b36fc5e1 · scanned 6/6/2026, 4:03:18 PM

GitHub: 580 stars · 99 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface LemonQu-GIT/ChatGLM-6B-Engineering, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    chatglm, llm, conversational-ai, streaming, web-ui, prompt-engineering, langchain, python, gradio
  • highreadme#2
    Reposition the README's opening to clearly state the project's purpose

    Why:

    CURRENT
    # ChatGLM-6B-Engineering

(Back End) 后端
    COPY-PASTE FIX
    # ChatGLM-6B-Engineering: A Full-Stack Solution for ChatGLM-6B Applications

This project provides a comprehensive backend and a ChatGPT-like streaming UI for building conversational AI applications with ChatGLM-6B. It integrates features like web search and mind map generation, aiming to be a versatile framework for prompt engineering and LLM deployment.
  • mediumabout#3
    Update the repository's 'About' description

    Why:

    CURRENT
    ChatGLM-6B Prompt Engineering Project
    COPY-PASTE FIX
    A full-stack solution for ChatGLM-6B, featuring a ChatGPT-like streaming UI, web search integration, and prompt engineering tools.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface LemonQu-GIT/ChatGLM-6B-Engineering
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI API · recommended 1×
  4. FastAPI · recommended 1×
  5. React · recommended 1×
  • CATEGORY QUERY
    How can I build a conversational AI interface with streaming responses?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. FastAPI
    4. React
    5. Next.js
    6. Hugging Face Transformers
    7. LlamaIndex

    AI recommended 7 alternatives but never named LemonQu-GIT/ChatGLM-6B-Engineering. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps integrate a local language model with web search capabilities?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Semantic Kernel
    5. LiteLLM
    6. requests
    7. Google Custom Search API
    8. SerpAPI
    9. Brave Search API
    10. transformers
    11. ollama

    AI recommended 11 alternatives but never named LemonQu-GIT/ChatGLM-6B-Engineering. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of LemonQu-GIT/ChatGLM-6B-Engineering?
    pass
    AI named LemonQu-GIT/ChatGLM-6B-Engineering explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts LemonQu-GIT/ChatGLM-6B-Engineering in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LemonQu-GIT/ChatGLM-6B-Engineering explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo LemonQu-GIT/ChatGLM-6B-Engineering solve, and who is the primary audience?
    pass
    AI did not name LemonQu-GIT/ChatGLM-6B-Engineering — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite